Minqi Jiang

According to our database, Minqi Jiang authored at least 32 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Rainbow Teaming: Open-Ended Generation of Diverse Adversarial Prompts.

Mikayel Samvelyan, Sharath Chandra Raparthy, Andrei Lupu, Eric Hambro, Aram H. Markosyan, Manish Bhatt, Yuning Mao, Minqi Jiang, Jack Parker-Holder, Jakob N. Foerster, Tim Rocktäschel, Roberta Raileanu

CoRR, 2024

Refining Minimax Regret for Unsupervised Environment Design.

Michael Beukman, Samuel Coward, Michael T. Matthews, Mattie Fellows, Minqi Jiang, Michael D. Dennis, Jakob Nicolaus Foerster

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Learning to Act without Actions.

Dominik Schmidt, Minqi Jiang

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Reward-Free Curricula for Training Robust World Models.

Marc Rigter, Minqi Jiang, Ingmar Posner

Proceedings of the Twelfth International Conference on Learning Representations, 2024

The Generalization Gap in Offline Reinforcement Learning.

Ishita Mediratta, Qingfei You, Minqi Jiang, Roberta Raileanu

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Advancing Multivariate Time Series Anomaly Detection: A Comprehensive Benchmark with Real-World Data from Alibaba Cloud.

Chaoli Zhang, Yingying Zhang, Lanshu Peng, Qingsong Wen, Yiyuan Yang, Chong-Jiong Fan, Minqi Jiang, Lunting Fan, Liang Sun

Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

Multi-Agent Diagnostics for Robustness via Illuminated Diversity.

Mikayel Samvelyan, Davide Paglieri, Minqi Jiang, Jack Parker-Holder, Tim Rocktäschel

Proceedings of the 23rd International Conference on Autonomous Agents and Multiagent Systems, 2024

JaxMARL: Multi-Agent RL Environments and Algorithms in JAX.

Alexander Rutherford, Benjamin Ellis, Matteo Gallici, Jonathan Cook, Andrei Lupu, Garðar Ingvarsson, Timon Willi, Akbir Khan, Christian Schröder de Witt, Alexandra Souly, Saptarashmi Bandyopadhyay, Mikayel Samvelyan, Minqi Jiang, Robert T. Lange, Shimon Whiteson, Bruno Lacerda, Nick Hawes, Tim Rocktäschel, Chris Lu, Jakob N. Foerster

Proceedings of the 23rd International Conference on Autonomous Agents and Multiagent Systems, 2024

2023

Learning Curricula in Open-Ended Worlds.

Minqi Jiang

CoRR, 2023

minimax: Efficient Baselines for Autocurricula in JAX.

Minqi Jiang, Michael Dennis, Edward Grefenstette, Tim Rocktäschel

CoRR, 2023

JaxMARL: Multi-Agent RL Environments in JAX.

Alexander Rutherford, Benjamin Ellis, Matteo Gallici, Jonathan Cook, Andrei Lupu, Garðar Ingvarsson, Timon Willi, Akbir Khan, Christian Schröder de Witt, Alexandra Souly, Saptarashmi Bandyopadhyay, Mikayel Samvelyan, Minqi Jiang, Robert Tjarko Lange, Shimon Whiteson, Bruno Lacerda, Nick Hawes, Tim Rocktäschel, Chris Lu, Jakob Nicolaus Foerster

CoRR, 2023

Weakly Supervised Anomaly Detection: A Survey.

Minqi Jiang, Chaochuan Hou, Ao Zheng, Xiyang Hu, Songqiao Han, Hailiang Huang, Xiangnan He, Philip S. Yu, Yue Zhao

CoRR, 2023

How Close is ChatGPT to Human Experts? Comparison Corpus, Evaluation, and Detection.

Biyang Guo, Xin Zhang, Ziyuan Wang, Minqi Jiang, Jinran Nie, Yuxuan Ding, Jianwei Yue, Yupeng Wu

CoRR, 2023

ADGym: Design Choices for Deep Anomaly Detection.

Minqi Jiang, Chaochuan Hou, Ao Zheng, Songqiao Han, Hailiang Huang, Qingsong Wen, Xiyang Hu, Yue Zhao

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Discovering General Reinforcement Learning Algorithms with Adversarial Environment Design.

Matthew Thomas Jackson, Minqi Jiang, Jack Parker-Holder, Risto Vuorio, Chris Lu, Gregory Farquhar, Shimon Whiteson, Jakob N. Foerster

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Anomaly Detection with Score Distribution Discrimination.

Minqi Jiang, Songqiao Han, Hailiang Huang

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

A Study of Global and Episodic Bonuses for Exploration in Contextual MDPs.

Mikael Henaff, Minqi Jiang, Roberta Raileanu

Proceedings of the International Conference on Machine Learning, 2023

MAESTRO: Open-Ended Environment Design for Multi-Agent Reinforcement Learning.

Mikayel Samvelyan, Akbir Khan, Michael Dennis, Minqi Jiang, Jack Parker-Holder, Jakob Nicolaus Foerster, Roberta Raileanu, Tim Rocktäschel

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Stabilizing Unsupervised Environment Design with a Learned Adversary.

Ishita Mediratta, Minqi Jiang, Jack Parker-Holder, Michael Dennis, Eugene Vinitsky, Tim Rocktäschel

Proceedings of the Conference on Lifelong Learning Agents, 2023

2022

General Intelligence Requires Rethinking Exploration.

Minqi Jiang, Tim Rocktäschel, Edward Grefenstette

CoRR, 2022

Improving Intrinsic Exploration with Language Abstractions.

Jesse Mu, Victor Zhong, Roberta Raileanu, Minqi Jiang, Noah D. Goodman, Tim Rocktäschel, Edward Grefenstette

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Grounding Aleatoric Uncertainty for Unsupervised Environment Design.

Minqi Jiang, Michael Dennis, Jack Parker-Holder, Andrei Lupu, Heinrich Küttler, Edward Grefenstette, Tim Rocktäschel, Jakob N. Foerster

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Exploration via Elliptical Episodic Bonuses.

Mikael Henaff, Roberta Raileanu, Minqi Jiang, Tim Rocktäschel

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

ADBench: Anomaly Detection Benchmark.

Songqiao Han, Xiyang Hu, Hailiang Huang, Minqi Jiang, Yue Zhao

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

GriddlyJS: A Web IDE for Reinforcement Learning.

Christopher Bamford, Minqi Jiang, Mikayel Samvelyan, Tim Rocktäschel

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Evolving Curricula with Regret-Based Environment Design.

Jack Parker-Holder, Minqi Jiang, Michael Dennis, Mikayel Samvelyan, Jakob N. Foerster, Edward Grefenstette, Tim Rocktäschel

Proceedings of the International Conference on Machine Learning, 2022

2021

MiniHack the Planet: A Sandbox for Open-Ended Reinforcement Learning Research.

Mikayel Samvelyan, Robert Kirk, Vitaly Kurin, Jack Parker-Holder, Minqi Jiang, Eric Hambro, Fabio Petroni, Heinrich Küttler, Edward Grefenstette, Tim Rocktäschel

Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks 1, 2021

Replay-Guided Adversarial Environment Design.

Minqi Jiang, Michael Dennis, Jack Parker-Holder, Jakob N. Foerster, Edward Grefenstette, Tim Rocktäschel

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Insights From the NeurIPS 2021 NetHack Challenge.

Eric Hambro, Sharada P. Mohanty, Dmitrii Babaev, Minwoo Byeon, Dipam Chakraborty, Edward Grefenstette, Minqi Jiang, DaeJin Jo, Anssi Kanervisto, Jongmin Kim, Sungwoong Kim, Robert Kirk, Vitaly Kurin, Heinrich Küttler, Taehwon Kwon, Donghoon Lee, Vegard Mella, Nantas Nardelli, Ivan Nazarov, Nikita Ovsov, Jack Parker-Holder, Roberta Raileanu, Karolis Ramanauskas, Tim Rocktäschel, Danielle Rothermel, Mikayel Samvelyan, Dmitry Sorokin, Maciej Sypetkowski, Michal Sypetkowski

Proceedings of the NeurIPS 2021 Competitions and Demonstrations Track, 2021

Prioritized Level Replay.

Minqi Jiang, Edward Grefenstette, Tim Rocktäschel

Proceedings of the 38th International Conference on Machine Learning, 2021

Grid-to-Graph: Flexible Spatial Relational Inductive Biases for Reinforcement Learning.

Zhengyao Jiang, Pasquale Minervini, Minqi Jiang, Tim Rocktäschel

Proceedings of the AAMAS '21: 20th International Conference on Autonomous Agents and Multiagent Systems, 2021

2020

WordCraft: An Environment for Benchmarking Commonsense Agents.

Minqi Jiang, Jelena Luketina, Nantas Nardelli, Pasquale Minervini, Philip H. S. Torr, Shimon Whiteson, Tim Rocktäschel

CoRR, 2020